Applied Machine Learning Online Course
Category: AI & Machine Learning Course Progress : 38.83% Validity Left : 34 Days
Applied Machine Learning Online Course
Category: AI & Machine LearningCourse Progress : 38.83%
Time Left : 34 Days
Obective of Applied AI/ Machine Learning Online Course:
The AppliedAICourse attempts to teach students/course-participants some of the core ideas in machine learning, data science and AI that would help the participants go from a real-world business problem to a first cut, working and deployable AI solution to the problem.
Our primary focus is to help participants build real-world AI solutions using the skills they learn in this course. This course will focus on practical knowledge more than mathematical or theoretical rigor. That doesn't mean that we would water down the content. We will try and balance the theory and practice while giving more preference to the practical and applied aspects of AI as the course name suggests. Through the course, we will work on 15+ case studies of real-world AI problems and datasets to help students grasp the practical details of building AI solutions. For each idea/algorithm in AI, we would provide examples to provide the intuition and show how the idea to be used in the real world.
Key Points:
- 1. The validity of the Applied Machine Learning course is 365 days from the date of enrollment.
- 2. Expert Guidance, we will answer your queries in atmost 24hours.
- 3. 15+ real world case studies(includes 2 self case studies).
- 4. 30+ machine learning and Deep learning algorithms will be taught in this course.
- 5. There are no prerequisites for this course as we have taught everything from scratch including python programming.
- 6. We will also be conducting 70+ hours of live content based on students feedback and industry needs. We would cover topics to prepare our students better for real-world problem solving and interviews.
- 7. A mentor will be assigned to each candidate after the completion of 50% of the course assignments whose sole concentration would be on building the specific student's portfolio/resume and in interview preparation, mock interviews.
Target Audience:
Applied AI Course is designed to cater to the needs of students at various levels of expertise and varying background skills. Within the validity period of 365 days, students can complete the course anytime based on their feasibility and at their own pace. It will take 6 months to complete the course if you can put an effort of 14 to 15hrs per week. More the effort, better the results. Here is a list of candidates who would benefit from our course:- Undergrad (B.Tech/B.E/BSc statistics/Bsc computer science/BCA) students in engineering and science.
- Grad(MS/MTech/ME/MCA) students in engineering and science.
- Working professionals: Software engineers, Business analysts, Startup teams building ML products/services, Product managers, Program managers, Managers, etc.
- Data Analysts, Data Scientists, ML Scientists and ML engineers.
Course Features
QUALIFICATION: Masters from IISC Bangalore, PROFESSIONAL EXPERIENCE: 11+ years of Experience( Yahoo Labs, Matherix Labs Co-founder, and Amazon)
2814 Comment(s)
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Hi
first of all thank you for great course
Can you please provide some modules for reinforcement learning.
Adding more content to the current course would make it quite bulky for most of our students to finish and stay motivated through the course. Hence, we did not add Reinforcement Learning (RL) to it as of now. We do not want out our students to be overwhelmed by the course content and workload. While we want to add more content, we don't want to overburden the students.
We will probably create a new course (or) add RL to this course itself in the future (no guarantees) as optional topics. It should be easy for any of our students to pick up RL once they finish this course as they have all of the background in Maths and Deep-Learning. Please note that no course can cover everything in ML. Often the content in this course itself is split across 2-3 courses. But we designed the course such that students can pick up new concepts fairly easily at the end of the course. Actually, some of our students have picked up RL at the end of this course fairly easily.
Hi
Then I suggest please add another course for RL. I joined course not due to lack of material for ML online but due to organization and flow of course and the way you teach. So I request you to please consider this request seriously. I will happily pay for another course from you.
We will surely inform you once we have the Reinforcement course ready (or) when we add RL as an optional content for this course.
Nov 05, 2018 04:40 AMSir, where we can learn RL or will it be added to this course as optional?
Oct 13, 2020 10:26 AMCurrently we are not planning to add RL in this course.
Oct 13, 2020 10:54 AM
Hi team,
Thank you for your all efforts taken for designing such great content. Especially Varma sir's way of teaching and explaining difficult concepts in a very easy-to-understand manner is praiseworthy.
I have been doing this course for 4 months now and from my experience, I can say that your hard work reflects through all the components of this course, be it teaching, live lectures, doubt solving or the assignments.
I have one suggestion,
It will be great if you make a telephone line available for doubt clarification regarding the assignments. Many times it's a small workaround that fixes the bug, but waiting for your reply via mail takes about a day and this, in turn, hampers the course progress.
Please make a telephonic helpline available for doubt clarification.
We encourage for doubts through mails. You can contact us at +918106920029/+916301939583 in case if you are looking for a phone call conversation with us.
Oct 07, 2019 22:17 PM
Hi AAIC,
My friend attended interview with Accenture with 2 years Data Science Experience, below are the list of questions was asked to him:
1. Explain about yourself
2. Explain the projects that you worked for
3. What is the difference between logistic and linear
4. What is SIgmoid function
5. What is the difference between sigmoid and softmax function
6. what is validation
7. what s statification
8. what is bootstrap validation
9. What is cost function
10. Why is cost function so important in model
11. When did you apply cost function
12. What is optimizer
13.I have 10 Million records with 60 features, what is your approch to build a logistic regression
a. which validation you choose
b. which model you choose
c. Which optimizer you choose
d list the optimizers you know and explain the best one you choose for this problem
e. Where do you get the data ? is it from online or warehouse?
14.what is clustering and explain various clustering algorithms
15. Write psudo code of Density based clustering
16.Have you ever worked on SVM ? tell me the advantages
17. What is the node entropy
18. How is Rnadom forest is different from Xgboost
19. What are the most significant parameters for the xgboost
20 Why you preferr XG boost for both Liner and logistic
21. What is PCA
22. I applied PCA on 50 features and how many new feature will I get
23 WHat is Eigan vector
24. How you deploy your model into production
25. What Hadoop cluster you are using
Please give us some links or study materials if you find any topic missed in AAIC course with respect to above-listed questions.
Thanks
These are some of the easier questions in interviews. We have covered all go these concepts except (Q-25) about Hadoop in our course.
For Hadoop cluster, I guess the interviewee mentioned that he is working on Hadoop and hence he was asked which version of Hadoop and which distribution of Hadoop and probably what configuration he was using. We have also not covered (Q-1) as it changes from person to person!
Hi, can you please explain what is your answer for below questions
22. I applied PCA on 50 features and how many new feature will I get
13. I have 10 Million records with 60 features, what is your approch to build a logistic regression
a. which validation you choose
b. which model you choose
c. Which optimizer you choose
d list the optimizers you know and explain the best one you choose for this problem
e. Where do you get the data ? is it from online or warehouse?
22. You can get any number of features
Jan 16, 2019 01:38 AM
For question no 13. Does logistic regression will helpful as they didn't mention that data is binary classifier/ternary or more.because logistic regression is only for 2 class classification as it is using sigmoid function.
So,If Nothing mentioned in the question then should I believe it would be binary classifier as they mention the word logistic regression?
Yes, if they're mentioning logistic regression, then it can be assumed that problem only have two classes.
Jan 31, 2021 00:28 AMCan we expect Reinforcement Learning to be added soon??..
Apr 04, 2019 13:04 PM
Please go through the comment thread:
http://www.appliedaicourse.com/course/11/applied-machine-learning-online-course#comment346
Sir, If this is the case, then my suggestion would be to give some introduction course about reinforcement learning and make it as optional.
Sep 18, 2019 22:27 PMWe'll think of it.
Sep 18, 2019 23:47 PMIt would be great in case there be a deep dive in Reinforcement Learning
Apr 04, 2019 15:18 PMSo far we are not looking towards addding Reinforcement learning. But in future we may add it and you will be able to access it.
Apr 04, 2019 18:00 PMOnce our validity gets over can we see those videos if you upload in future and do we need pay seperately for that ?
Jun 13, 2020 19:57 PMOnce if the course validity is over, you'll not be able to access any content in both website and classroom.
Jun 13, 2020 21:26 PM
Hi team, if the validity is over and I want to pay again to access the course.
Will my previous assignment and course progress be reset?
I don't think I can finish it on time but I still want to do as much as I can.
Please drop an mail regarding the same query to team@appliedaicourse.com
Oct 02, 2020 20:19 PMAfter course completion and expiry. How will we access company placements as we are logged out from classroom?
May 13, 2021 09:00 AMKindly drop us a mail at team@appliedaicourse.com regarding this query.
May 13, 2021 10:18 AMSir i3 processor with 8Gb RAM is fine to complete this course
Apr 28, 2019 05:03 AMYes it is enough.
Apr 28, 2019 17:04 PM
Would like to suggest one functionality.
If you would create one dashboard where will get a ranking based on the respective assignment. It will be great.
Thanks for the suggestion!
Jun 15, 2019 10:41 AM
Hello Sir, Do i need to watch the live sessions in each module after the completion of Course videos of each module, or can i first watch all the course videos, complete the assignments and then watch the live sessions?
Watching Live sessions are necessary for assignment completion, or should i watch them after i have completed the assignments?
We recommend you to watch the live sessions associated with each topic immediately after finishing the chapter asociated with that topic. This way you could learn the topic in much more depth as most of the live sessions are the deep dives of the topics.
Jun 02, 2020 17:16 PM
HI Team,
I have 10+ years experience in IT. Currently working in Banking product implementation. My main concern is whether switching to AI/ML platform after 10+ experience is right was forward. Is it worth to take the risk of changing the domain now? My contact number: 98941 68004.
See I will suggest it is never late to switch the skills set.If you really want the edge over new skills you can consider it.It totally depends on the interest of one.
Jul 29, 2019 01:06 AMCan I learn artificial intelligence in the field of mechatronics?
Apr 02, 2019 06:58 AMPlease drop us your query at team@appliedaicourse.com. so that we can assist you better.
Apr 03, 2019 02:18 AMPay easy monthly installments instead of lump-sum amount.
It is really great to see exponential growth of AppliedAI. Team's efforts to consider every concern, and work on it is very much appreciable. Very soon AppliedAI will be one of the top most and successful Data Science learning platform.
Apr 09, 2019 08:17 AMThank you for the kind words and the trusting us. We make sure every student who has trusted us will succeed through our course.
Apr 09, 2019 11:56 AMI also want to make a startup like you in the AI field, this course give me a good start for ml and deep learning. Till the end of my B.tech ,I want to gain as much as knowledge as possible, or i can say as impossible.Now, finished my first year.
May 28, 2019 13:06 PMFully passionate for completing the case studies.
Learn as much as you can from this course and after your 2nd year onwards, start internships and by the time you sit for placements in your final year, you'll get as much exposure. In case if you are interested in product development companies, along with ML, also gain strong command on CS fundamentals like Data Structures & Algorithms, Design Patterns, Operating Systems, Computer Networks, DBMS. Regarding the start up plans, once if you have some experience of around 3-5 years in the corporate, you can think of a new startup because in order to run a startup along with the technical stuff, you also need management skills.
May 28, 2019 14:05 PMsir, thanks for wonderful suggestions. But What you suggest me regarding internships, I want to get some real world exposure by doing internship in these summer vacations, I completed 10 to 11 assinments,
May 28, 2019 15:06 PMNow In 10 to 15 days I 'll complete all course content, just case studies 'll left after that.
I have full june month for completing some case studies and refresh concepts about machine learning then till the end of june ,I'll apply for internsip.
Is this good idea.
Make sure your internship doesn't clash with your classes in college. Yes you can start applying for internship once if you finish the course. Once if you finish all the course content, there are chances for you to crack internships in top IT companies
May 28, 2019 15:51 PMWhat are design patterns?
Jun 29, 2020 21:09 PMhttps://en.wikipedia.org/wiki/Software_design_pattern
Jun 29, 2020 22:02 PM& https://www.geeksforgeeks.org/design-patterns-set-1-introduction/
Pls call/give me your mobile number for detail
Aug 27, 2021 20:25 PMpls drop a mail to team@appliedaicourse.com for more details.
Aug 27, 2021 21:12 PMBut.i.am.thinking.that.whats.select..my.cources
Dec 05, 2021 01:16 AMCan you elaborate your question?
Dec 05, 2021 11:23 AMThe sole reason for this is: Verma sir is very very clear in his understanding and very keen on learning from various perspectives.
Nov 26, 2021 23:04 PMHi Team of Applied Roots(AAIC),
Jul 16, 2022 03:09 AMWe are blessed to learn from you Sir, you made all concepts very easy by your way of teaching. Can't Thank enough for that.
A Humble request for you, as you are a part of the scalar now, please don't kill this AI Course and Please make available this data of Amazingly taught AI content and Humongous Data of Intelligent questions and Intelligent Answers from Amazing Team.
Please make available just content and Live Sessions not all the job guarantees etc. Your content is sufficient enough to get a job if we work hard.
Thanks.
Hi,
Jul 16, 2022 06:46 AMwe will consider your suggestion.
Sir can you please let us know if this is possible?
Aug 20, 2022 10:48 AMCould you please drop a mail regarding this?
Aug 20, 2022 11:14 AMDone Sir. Looking forward to your response
Aug 20, 2022 11:37 AMWe will reply ASAP. Thanks for your FeedBack
Aug 20, 2022 12:10 PMCan I enrol for this course?
Oct 09, 2022 22:45 PMCould you please drop a mail?
Oct 10, 2022 08:44 AMRupal,
Did you get a reply for this?
What was it?
Can email at - maheshkumarmitian@gmail.com
Oct 15, 2022 08:19 AMCould you please drop a mail regarding this?
Oct 15, 2022 11:12 AM